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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 12-RES-JB
    11. 4966
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    Explanations

    phrases related to natural disasters, particularly heavy rain and drought situations

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to extreme weather events and their impact

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    artments
    -0.72
    ublic
    -0.68
    ATIVE
    -0.66
    ij士
    -0.64
     Cosponsors
    -0.64
    incerity
    -0.64
    tein
    -0.63
     Outs
    -0.63
     Lobby
    -0.62
     Folder
    -0.62
    POSITIVE LOGITS
    storms
    1.17
     rains
    1.16
     rainfall
    1.08
     storms
    1.05
    storm
    0.99
     landfall
    0.99
     ruining
    0.98
     affecting
    0.98
     plag
    0.97
     forecast
    0.96
    Activations Density 0.214%

    No Known Activations